机械工程学报
機械工程學報
궤계공정학보
Journal of Mechanical Engineering
2015年
18期
198-203
,共6页
电磁继电器%状态监测%比例故障率模型%威布尔分布%性能评估
電磁繼電器%狀態鑑測%比例故障率模型%威佈爾分佈%性能評估
전자계전기%상태감측%비례고장솔모형%위포이분포%성능평고
electromagnetic relays%status monitoring%proportional hazards model(PHM)%Weibull distribution%performance assessment
基于概率统计理论的传统可靠性评估方法得到的是批量产品整体的可靠性水平,较强依赖于寿命数据,对于产品运行可靠性进行评估并不适宜。这里以电磁继电器为例,给出一种基于状态监测数据和整体寿命数据的性能评估方法。根据电接触检测试验得到触点接触电阻状态监测数据和继电器的寿命数据,对继电器寿命分布进行检验,确定继电器寿命分布为威布尔分布;以接触电阻为模型协变量,以威布尔分布为继电器失效分布类型,计算继电器基准故障率函数,采用极大似然估计法对模型参数进行估计,建立继电器威布尔比例故障率性能评估模型。在此基础上,给出继电器监测间隔动态预测方法。实例分析表明,该方法对继电器进行性能评价是有效的,可为器件更换、系统维护决策提供支持。
基于概率統計理論的傳統可靠性評估方法得到的是批量產品整體的可靠性水平,較彊依賴于壽命數據,對于產品運行可靠性進行評估併不適宜。這裏以電磁繼電器為例,給齣一種基于狀態鑑測數據和整體壽命數據的性能評估方法。根據電接觸檢測試驗得到觸點接觸電阻狀態鑑測數據和繼電器的壽命數據,對繼電器壽命分佈進行檢驗,確定繼電器壽命分佈為威佈爾分佈;以接觸電阻為模型協變量,以威佈爾分佈為繼電器失效分佈類型,計算繼電器基準故障率函數,採用極大似然估計法對模型參數進行估計,建立繼電器威佈爾比例故障率性能評估模型。在此基礎上,給齣繼電器鑑測間隔動態預測方法。實例分析錶明,該方法對繼電器進行性能評價是有效的,可為器件更換、繫統維護決策提供支持。
기우개솔통계이론적전통가고성평고방법득도적시비양산품정체적가고성수평,교강의뢰우수명수거,대우산품운행가고성진행평고병불괄의。저리이전자계전기위례,급출일충기우상태감측수거화정체수명수거적성능평고방법。근거전접촉검측시험득도촉점접촉전조상태감측수거화계전기적수명수거,대계전기수명분포진행검험,학정계전기수명분포위위포이분포;이접촉전조위모형협변량,이위포이분포위계전기실효분포류형,계산계전기기준고장솔함수,채용겁대사연고계법대모형삼수진행고계,건립계전기위포이비례고장솔성능평고모형。재차기출상,급출계전기감측간격동태예측방법。실례분석표명,해방법대계전기진행성능평개시유효적,가위기건경환、계통유호결책제공지지。
The result obtained from traditional reliability evaluation methods is the overall level of a collection of electrical products which mainly based on probability and statistics theory, strongly relying on lifetime data, and not suit for operating reliability evaluation. Electromagnetic relay, for example, a performance assessment method based on condition monitoring data and overall lifetime data is proposed. Calculate the baseline hazard rate function according to contact status monitoring and lifetime data from the electrical contact test and determined Weibull distribution as relay’s lifetime distribution after fitting test. Taking contact resistance and Weibull distribution as model covariate and baseline hazard rate function form respectively. Model parameters could be obtained by maximum likelihood estimation method. Weibull proportional hazards model for performance evaluation for relays is established and monitoring interval dynamic prediction method is presented on this basis. Application example is given to verify the effectiveness of this method, providing support for devices change and maintenance decision.